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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Developer/Systems Engineer - **Company:** SENIOR CARE CENTERS OF AMERICA, INC - **Location:** Tampa, FL, United States - **Experience:** Expert - **Salary:** $135,000.0 - $165,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Systems Engineering, Microsoft Azure, Health Informatics, Clinical Data Repository, Cloud Computing, Cloud Engineering, Computer Programming, Continuous Integration, Information Engineering, Data Security, Data Visualization, Interoperability, Machine Learning, Power BI, Azure Machine Learning, Software Deployment, User-Centered Design, Fast Healthcare Interoperability Resources, Large Language Models, Multi-Agent Systems, Deep Learning, Event Driven Architecture, Containerization, Kubernetes, Information Technology, Health Level Seven International, Azure AKS, Machine Learning Operations, Virtual Agents, Restful APIs, GPT, Serverless Computing - **Published:** July 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=bf9810d59642d0ba ## About the Role The ideal candidate is a hands-on builder who thrives in regulated environments, understands clinical workflows, and can architect scalable solutions in the Microsoft Azure ecosystem., · Bachelor's degree in Computer Science, Data Science, Engineering, or related field; Master's preferred. · 3-7+ years of experience in AI/ML engineering, ideally in healthcare or other regulated industries. · Strong programming skills. · Experience with modern LLM frameworks. · Experience deploying AI systems in Azure (Azure AI, AKS, Azure Functions, Azure DevOps). · Experience with healthcare data and interoperability standards and terminologies such as HL7®, FHIR®, LOINC®, and SNOMED. · Familiarity with medical coding systems such as ICD-10, CPT, and DRGs. · Experience with vector databases, RAG pipelines, and embedding models. · Strong understanding of HIPAA, PHI handling, CMS billing rules, and clinical workflow constraints. · Experience with data visualization tools such as Tableau®, PowerBI or equivalent. · Excellent problem-solving skills and ability to deconstruct ambiguous questions into actionable analytical tasks. · Knowledge of user-centered design principles and agile development methodologies. · Strong communication skills and ability to translate between clinical, technical, and business contexts. · Ability to work in a fast-paced, AI-native startup environment with evolving workflows. Preferred Qualifications · Experience with biomechanics or ambulatory specialty workflows. · Experience integrating AI systems with EHRs such as Ethizo, PCC, Epic, or Athena. · Experience with Microsoft Graph, Power Platform, or enterprise identity/security frameworks. · Experience building agentic systems or multi-agent orchestration frameworks. · Experience in multi-state healthcare operations or regulatory environments. What Success Looks Like · AI agents reliably automate administrative tasks and workflows. · Clinical and operational teams experience measurable reductions in administrative burden. · AI systems integrate seamlessly with EHR and other core platforms. · eMerge scales to multi-state, multi-specialty operations with consistent AI-driven workflows. · Responsible AI principles are embedded into every model and automation. ## Description The AI Developer / AI Systems Engineer is responsible for designing, developing, deploying, and maintaining AI-driven systems that power eMerge's AI-native multi-specialty practice model. This role blends machine learning, agentic AI, workflow automation, cloud engineering, and healthcare IT integration to support multi-state clinical operations., · AI Model Development - Build, train, and evaluate machine learning, deep learning, and LLM-based models for podiatry workflows, documentation, coding, triage, and operational automation. · Agentic AI Systems - Develop autonomous agents for scheduling, intake, documentation, quality review, RCM, and patient communication. · ML Ops & Production Deployment - Convert prototypes into production-ready solutions using CI/CD pipelines, containerization, and Azure-native deployment patterns. · Healthcare IT Integration - Integrate AI systems with EHR, RCM platforms, imaging workflows, and multi-specialty operations using FHIR, HL7, REST APIs, and secure data pipelines. · Workflow Automation - Build automations using Azure Functions, event-driven architecture, and cloud orchestration to reduce administrative burden. · Data Engineering Collaboration - Partner with outside data engineers to design pipelines for structured/unstructured clinical data, imaging, and operational datasets. · Cloud Architecture - Deploy AI systems using Azure AI Services, AKS, serverless compute, vector databases, and secure identity frameworks. · Responsible AI & Compliance - Ensure all AI systems meet HIPAA, CMS billing rules, state regulations, and eMerge's Responsible AI Framework. · Continuous Improvement - Monitor model drift, retrain models, and stay current with emerging AI technologies relevant to ambulatory care and podiatry. ## Related Videos - [AI in High-Stakes Industries: Lessons Learned](https://www.wearedevelopers.com/videos/100253-ai-in-high-stakes-industries-lessons-learned) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Azure-Well Architected Framework - designing mission critical workloads in practice](https://www.wearedevelopers.com/videos/1529-azure-well-architected-framework-designing-mission-critical-workloads-in-practice) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)